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OrderEase vs WDDNG

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: Next.js, PostgreSQL
  • Both kinds of work: Web
  • Order: OrderEase (2025 – 2026) → WDDNG (Jan 2026 – present)

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OrderEase ›

Branded online ordering for restaurants and retailers

WDDNG ›

South Africa's wedding marketplace, with two apps on Google Play

At a glance

Role
Technical lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Live
Type
Web, Platform
Role
Founder / Full-stack & Mobile Engineer
When
Jan 2026 – present
Length
10 mo so far
Status
Live
Type
AI, Mobile, Web

The problem

Direct ordering and order management: menus, orders, payments and fulfilment, with automated order intake and status updates that cut merchants' operational overhead.
South African couples plan across fragmented directories, WhatsApp messages and opaque “price on request” listings, while many international tools don't support local multi-ceremony wedding journeys.

What was built

—
A Next.js and Supabase marketplace with two Kotlin / Jetpack Compose Android apps on Google Play: one for couples, one for vendors. Thuli, the AI planner, is a LangGraph supervisor coordinating 16 specialist agents.

Stack

  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis
  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith

Highlights

  • Fast, responsive ordering on Next.js
  • FastAPI services for menus, orders, payments and fulfilment
  • Two Kotlin / Jetpack Compose Android apps published on Google Play
  • Thuli: a LangGraph supervisor coordinating 16 specialist agents through Zod-typed handoff tools
  • Per-agent model selection, token metering and LangSmith tracing
  • SSE streaming that renders vendor cards and progress during an answer

Infrastructure choices

—
  • Supabase with PostgreSQL RLS

Outcome

—
The marketplace runs across web and two production Android apps, giving couples structured planning tools and vendors better-qualified enquiries with date, budget and guest-count context.

See it